AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).

By Tarun Sai Lomte COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological ...

Instead of waiting for problems to occur and then treating them, 2025's innovations are all about prevention and early ...

Heart disease remains the leading cause of death in the United States, accounting for about 1 in every 5 deaths, according to the CDC. Early detection plays a critical role in improving patient ...